Blackfire Continuous Profiler
Low-overhead continuous profiling for app performance optimization.
Open-Source Projects
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Intuitive, queryless UI for continuous application profiling
Grafana Pyroscope delivers continuous profiling across languages, offering proactive resource optimization and reactive debugging with a queryless Explore Profiles UI, easy Docker or Homebrew deployment.
Grafana Pyroscope is a continuous profiling platform that helps developers and SREs gain deep visibility into CPU, memory, and I/O behavior of applications. By collecting data via language‑specific SDKs or Grafana Alloy, it stores profiles in a central server that can be explored without writing queries.
The new Explore Profiles UI offers a queryless, intuitive interface integrated into Grafana. Users can instantly view flame graphs, compare time ranges, and drill down to the exact line of code responsible for a bottleneck. Deployment is straightforward: run the server locally with Docker or Homebrew, or enable it automatically on Grafana Cloud.
Start a server (docker run -p 4040:4040 grafana/pyroscope), add the appropriate SDK to your code, and open the Explore Profiles panel in Grafana. The platform supports Go, Java, Python, Ruby, Node.js, .NET, Rust, and eBPF, making it suitable for heterogeneous microservice environments.
When teams consider Grafana Pyroscope, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Proactive CPU usage reduction
Identify hot functions during load testing and refactor code to lower CPU consumption by up to 30%.
Memory leak detection in production
Drill down to the exact line causing a leak, enabling rapid patch deployment.
Incident response for latency spikes
Correlate spike with profiling data to pinpoint bottleneck and restore performance within minutes.
Cross‑language service profiling
Collect and compare profiles from Go, Java, and Python services in a single UI for holistic analysis.
Install a language‑specific SDK or use Grafana Alloy to push data to the Pyroscope server; see the documentation for each language.
No. The Explore Profiles UI is queryless; it automatically displays recent profiles and lets you filter by service, time range, and profile type.
Yes. Use Docker (`docker run -p 4040:4040 grafana/pyroscope`) or Homebrew (`brew install pyroscope-io/brew/pyroscope`) to start a local server.
CPU, memory, and I/O profiling are supported, with language‑specific profile formats such as pprof and eBPF.
It is released under the AGPL‑3.0 license.
Project at a glance
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